DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME

Detalhes bibliográficos
Autor(a) principal: Manzoli,Juliana Prado Biani
Data de Publicação: 2020
Outros Autores: Montanari,Fábio Luis, Carvalho,Luciana Aparecida Costa, Ferreira,Raisa Camilo, Ribeiro,Elaine, Duran,Erika Christiane Marocco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Texto & contexto enfermagem (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-07072020000100316
Resumo: ABSTRACT Objective: to analyze the content of the defining characteristics of the Disturbed Sleep Pattern Nursing Diagnosis (00198) in patients with Acute Coronary Syndrome. Method: content analysis performed by specialists who achieved a score equal to or greater than five, according to established criteria: clinical experience, teaching and/or research; participation in research groups; doctorate degree; master's degree; specialization and/or residency in cardiology and/or sleep and/or nursing classifications. Eight defining characteristics were evaluated for their relationship to population, relevance, clarity and accuracy. Descriptive statistics were performed to characterize the sample, binomial statistical test to establish if there is agreement between the experts and chi-square and Fisher's exact to establish associations between the evaluated items and the experts' variables. Results: 54 experts participated in the study. The defining characteristics validated by the experts were the following: dissatisfaction with sleep, feeling unrested, sleep deprivation, alteration in sleep pattern, unintentional awakening, difficulty initiating sleep and daytime sleepiness. There was a statistically significant association between evaluated items and the variables time of training, time of operation and punctuation. Conclusion: seven of the eight defining characteristics were considered valid after the application of binomial test. This study will contribute to the refinement of the Disturbed Sleep Pattern Nursing Diagnosis (000198) and may enable the improvement of the quality of care of patients hospitalized with Acute Coronary Syndrome regarding changes in sleep pattern. The content analysis stage will support the next stage of the validation process of the present diagnosis, the clinical validation.
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spelling DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROMESleepAcute coronary syndromeNursing diagnosisNursing processCoronary care unitsValidation studiesABSTRACT Objective: to analyze the content of the defining characteristics of the Disturbed Sleep Pattern Nursing Diagnosis (00198) in patients with Acute Coronary Syndrome. Method: content analysis performed by specialists who achieved a score equal to or greater than five, according to established criteria: clinical experience, teaching and/or research; participation in research groups; doctorate degree; master's degree; specialization and/or residency in cardiology and/or sleep and/or nursing classifications. Eight defining characteristics were evaluated for their relationship to population, relevance, clarity and accuracy. Descriptive statistics were performed to characterize the sample, binomial statistical test to establish if there is agreement between the experts and chi-square and Fisher's exact to establish associations between the evaluated items and the experts' variables. Results: 54 experts participated in the study. The defining characteristics validated by the experts were the following: dissatisfaction with sleep, feeling unrested, sleep deprivation, alteration in sleep pattern, unintentional awakening, difficulty initiating sleep and daytime sleepiness. There was a statistically significant association between evaluated items and the variables time of training, time of operation and punctuation. Conclusion: seven of the eight defining characteristics were considered valid after the application of binomial test. This study will contribute to the refinement of the Disturbed Sleep Pattern Nursing Diagnosis (000198) and may enable the improvement of the quality of care of patients hospitalized with Acute Coronary Syndrome regarding changes in sleep pattern. The content analysis stage will support the next stage of the validation process of the present diagnosis, the clinical validation.Universidade Federal de Santa Catarina, Programa de Pós Graduação em Enfermagem2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-07072020000100316Texto & Contexto - Enfermagem v.29 2020reponame:Texto & contexto enfermagem (Online)instname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSC10.1590/1980-265x-tce-2018-0345info:eu-repo/semantics/openAccessManzoli,Juliana Prado BianiMontanari,Fábio LuisCarvalho,Luciana Aparecida CostaFerreira,Raisa CamiloRibeiro,ElaineDuran,Erika Christiane Maroccoeng2020-02-05T00:00:00Zoai:scielo:S0104-07072020000100316Revistahttp://www.scielo.br/tcePUBhttps://old.scielo.br/oai/scielo-oai.phptextoecontexto@nfr.ufsc.br1980-265X0104-0707opendoar:2020-02-05T00:00Texto & contexto enfermagem (Online) - Universidade Federal de Santa Catarina (UFSC)false
dc.title.none.fl_str_mv DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME
title DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME
spellingShingle DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME
Manzoli,Juliana Prado Biani
Sleep
Acute coronary syndrome
Nursing diagnosis
Nursing process
Coronary care units
Validation studies
title_short DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME
title_full DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME
title_fullStr DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME
title_full_unstemmed DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME
title_sort DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME
author Manzoli,Juliana Prado Biani
author_facet Manzoli,Juliana Prado Biani
Montanari,Fábio Luis
Carvalho,Luciana Aparecida Costa
Ferreira,Raisa Camilo
Ribeiro,Elaine
Duran,Erika Christiane Marocco
author_role author
author2 Montanari,Fábio Luis
Carvalho,Luciana Aparecida Costa
Ferreira,Raisa Camilo
Ribeiro,Elaine
Duran,Erika Christiane Marocco
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Manzoli,Juliana Prado Biani
Montanari,Fábio Luis
Carvalho,Luciana Aparecida Costa
Ferreira,Raisa Camilo
Ribeiro,Elaine
Duran,Erika Christiane Marocco
dc.subject.por.fl_str_mv Sleep
Acute coronary syndrome
Nursing diagnosis
Nursing process
Coronary care units
Validation studies
topic Sleep
Acute coronary syndrome
Nursing diagnosis
Nursing process
Coronary care units
Validation studies
description ABSTRACT Objective: to analyze the content of the defining characteristics of the Disturbed Sleep Pattern Nursing Diagnosis (00198) in patients with Acute Coronary Syndrome. Method: content analysis performed by specialists who achieved a score equal to or greater than five, according to established criteria: clinical experience, teaching and/or research; participation in research groups; doctorate degree; master's degree; specialization and/or residency in cardiology and/or sleep and/or nursing classifications. Eight defining characteristics were evaluated for their relationship to population, relevance, clarity and accuracy. Descriptive statistics were performed to characterize the sample, binomial statistical test to establish if there is agreement between the experts and chi-square and Fisher's exact to establish associations between the evaluated items and the experts' variables. Results: 54 experts participated in the study. The defining characteristics validated by the experts were the following: dissatisfaction with sleep, feeling unrested, sleep deprivation, alteration in sleep pattern, unintentional awakening, difficulty initiating sleep and daytime sleepiness. There was a statistically significant association between evaluated items and the variables time of training, time of operation and punctuation. Conclusion: seven of the eight defining characteristics were considered valid after the application of binomial test. This study will contribute to the refinement of the Disturbed Sleep Pattern Nursing Diagnosis (000198) and may enable the improvement of the quality of care of patients hospitalized with Acute Coronary Syndrome regarding changes in sleep pattern. The content analysis stage will support the next stage of the validation process of the present diagnosis, the clinical validation.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-07072020000100316
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-07072020000100316
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-265x-tce-2018-0345
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Catarina, Programa de Pós Graduação em Enfermagem
publisher.none.fl_str_mv Universidade Federal de Santa Catarina, Programa de Pós Graduação em Enfermagem
dc.source.none.fl_str_mv Texto & Contexto - Enfermagem v.29 2020
reponame:Texto & contexto enfermagem (Online)
instname:Universidade Federal de Santa Catarina (UFSC)
instacron:UFSC
instname_str Universidade Federal de Santa Catarina (UFSC)
instacron_str UFSC
institution UFSC
reponame_str Texto & contexto enfermagem (Online)
collection Texto & contexto enfermagem (Online)
repository.name.fl_str_mv Texto & contexto enfermagem (Online) - Universidade Federal de Santa Catarina (UFSC)
repository.mail.fl_str_mv textoecontexto@nfr.ufsc.br
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